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Constructing Efficient Decision Trees by Using Optimized Numeric Association Rules

Summary: Extends Quinlan’s entropy-based tree induction with optimized 2D association-rule splits for strongly correlated numeric attributes. Efficiently searches monotone, rectangular, and rectilinear-convex regions, yielding smaller trees and a SONAR implementation. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
8530
Venue
VLDB
Year
1996
Pagerank
6.6548619e-05
Overall Rank
4,509 | 69.07%
DOI
-

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{fukuda_vldb96,
        title = {{Constructing Efficient Decision Trees by Using Optimized Numeric Association Rules}},
        author = {Fukuda, Takeshi and Morimoto, Yasuhiko and Tokuyama, Takeshi and Morishita, Shinichi},
        journal = {PVLDB},
        series = {{VLDB} '96},
        pages = {146},
        year = {1996}
}

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